An innovative application of deep learning in multiscale modeling of subsurface fluid flow: Reconstructing the basis functions of the mixed GMsFEM


Choubineh, Abouzar, Chen, Jie ORCID: 0000-0003-1036-007X, Coenen, Frans ORCID: 0000-0003-1026-6649 and Ma, Fei ORCID: 0000-0001-6099-480X (2022) An innovative application of deep learning in multiscale modeling of subsurface fluid flow: Reconstructing the basis functions of the mixed GMsFEM. Journal of Petroleum Science and Engineering, 216. 110751 - 110751.

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Item Type: Article
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 19 Jul 2022 10:22
Last Modified: 18 Jan 2023 20:56
DOI: 10.1016/j.petrol.2022.110751
URI: https://livrepository.liverpool.ac.uk/id/eprint/3158895
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